Tarification

Drive Cockpit with an intelligent conversational interface

Swiftask adds a conversational layer to your Cockpit instance. Query your data and execute commands using natural language.

Resultat:

Simplify tool adoption. Turn complex workflows into a simple, natural conversation.

Cockpit's UI complexity slows your team down

Management tools like Cockpit are powerful, but their interfaces often become mazes. Finding data, launching a process, or generating reports requires multiple clicks and technical expertise, slowing down daily operations.

Les principaux impacts négatifs :

Steep learning curve: The interface complexity discourages casual users and requires constant, time-consuming training.
Operational time loss: Navigating through menus for simple actions wastes valuable time that should be spent on analysis.
Information silos: Data is locked within Cockpit, making quick access impossible for non-expert team members.

Swiftask adds a conversational UI on top of Cockpit. Instead of clicking, simply ask your question or give an instruction to your AI agent.

AVANT / APRÈS

Ce qui change avec Swiftask

Standard Cockpit

The user must open several views, apply complex filters, export data, and then process it manually in another tool to get an answer.

Cockpit + Swiftask

The user asks the agent: 'What is the status of delayed projects this month?'. The AI extracts data from Cockpit instantly and provides a clear answer.

Deploy your conversational UI in 4 steps

ÉTAPE 1 : Source configuration

Connect your Cockpit instance to Swiftask. The agent indexes relevant data to understand your processes.

ÉTAPE 2 : Intent definition

Teach the agent the specific commands you want to trigger in Cockpit via chat.

ÉTAPE 3 : Tone customization

Configure your agent's personality and level of detail to align with your company culture.

ÉTAPE 4 : Go live

Launch the conversational interface and let your teams interact naturally with Cockpit.

Conversational agent capabilities

The agent analyzes the intent behind every request, identifies the necessary parameters in Cockpit, and executes the requested action securely.

Connecteur cible : L'agent exécute les bonnes actions dans cockpit selon le contexte de l'événement.
Actions automatisées : Natural language data search. Recurring task execution. Project summary generation. Proactive KPI alerts. Bidirectional interaction with Cockpit objects.
Gouvernance native : All interactions are secure and respect the permissions defined in your Cockpit environment.

Chaque action est contextualisée et exécutée automatiquement au bon moment.

Chaque agent Swiftask utilise une identité dédiée (ex. agent-cockpit@swiftask.ai ). Vous gardez une visibilité complète sur chaque action et chaque message envoyé.

À retenir : L'agent automatise les décisions répétitives et laisse à vos équipes les actions à forte valeur.

Why switch to a conversational interface

1. Increased accessibility

Any team member, even non-technical ones, can query Cockpit without complex training.

2. Boosted productivity

Drastically reduce time spent navigating menus. Get answers in seconds.

3. Faster decision-making

Access strategic insights directly from chat, without waiting for manual reports.

4. Reduced errors

The AI follows standardized processes, eliminating human errors related to manual clicking in Cockpit.

5. Scalability

Add new conversational capabilities as your business needs evolve.

Data security and governance

Swiftask applique des standards de sécurité enterprise pour vos automatisations cockpit.

End-to-end encryption: All data exchanged between Cockpit and Swiftask is encrypted.
Permission adherence: The agent only accesses data authorized by the connected user's profile.
Full audit trail: Every conversational interaction is logged for total transparency.
Full control: You retain control over the agent's capabilities and can disable it at any time.

Pour aller plus loin sur la conformité, consultez la page gouvernance Swiftask et ses détails d'architecture de sécurité.

RÉSULTATS

Measurable impact on efficiency

Métrique	Avant	Après
Data extraction time	Several minutes	A few seconds
User adoption	Low (complex UI)	High (intuitive UI)
Training required	Several days	Almost none
Query accuracy	Variable by user	Standardized by AI

Passez à l'action avec cockpit

Simplify tool adoption. Turn complex workflows into a simple, natural conversation.

Fiabilisez votre contrôle qualité dans Cockpit avec l'IA

Cas d'usage suivant.